Senior Data Scientist

Data Scientist (AI/ML) – Remote (US-Based Only)

Schedule: Monday–Friday, 8:30 AM–5:00 PM (Local Time)

Employment Type: Temp-to-Hire (Performance-Based)

Work Setup: Dual monitors docking station required

Location Requirement: Must reside in one of the preferred states (AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY outside greater NYC, OH, TX, UT, WA outside greater Seattle, WI)

About the Role

We are seeking an experienced Data Scientist (AI/ML) to develop, deploy, and optimize advanced machine learning solutions across healthcare-driven initiatives. This role focuses on data integrity, model development, agentic workflows, and the creation of predictive AI systems that directly support business and clinical decision-making. You will collaborate with cross-functional teams, perform complex analysis, and contribute to innovation within AI/ML for healthcare.

Key Responsibilities

• Perform data analysis, error detection, and model validation to ensure high-quality datasets.
• Design, develop, and train supervised, unsupervised, deep learning, and reinforcement learning models.
• Implement agentic workflows to enable AI-driven autonomous task execution.
• Leverage RAG (Retrieval-Augmented Generation) patterns to enhance language model performance.
• Fine-tune pre-trained models for domain-specific datasets and applications.
• Clean, preprocess, and transform data to support optimal model outcomes.
• Deploy models into production, monitor real-time performance, and adjust as needed.
• Partner with engineering, product, and business teams to integrate AI solutions into existing systems.
• Maintain clear documentation on models, methodologies, and outputs.
• Stay current with advancements in AI/ML and incorporate best practices into ongoing development.
• Provide mentorship and technical leadership to junior data scientists.
• Support business initiatives by developing ML models that drive Star Ratings improvements, reduce care gaps, and support healthcare outcomes.

Required Qualifications

• US Citizenship Required
• PhD or equivalent experience in a quantitative field
• 6 years of experience as a Data Scientist (healthcare preferred but not required)
• Expertise in Python and R
• Experience with ML frameworks: TensorFlow, Keras, PyTorch
• Strong understanding of statistical methods including SVM, Naive Bayes, neural networks, k-NN
• Experience designing agentic workflows or autonomous AI operations
• Knowledge of RAG techniques and retrieval-augmented model development
• Strong SQL/NoSQL experience; understanding of SDLC and data warehousing concepts
• Proficiency in data visualization (Tableau, Power BI)
• Strong analytical and problem-solving skills with the ability to handle complex datasets

Preferred Qualifications

• Experience with Databricks, Snowflake, Azure AI Studio, or similar cloud AI platforms
• Familiarity with NLP, LLM optimization, and computer vision techniques

Work Environment

• Fully remote within approved states
• Must be able to work from your local time zone
• Dual monitors and docking station required for daily operations